Chapter 5 Conclusion
5.1 Statistical Analysis Summary
According to the demographic information, most of the respondents are female which consist of 64 respondents out of 103 respondents and 62.1% of total respondents. On the other hand, the male respondents having 37.9% of total respondents which is 39 respondents.
Besides that, the majority of the respondents are in the age group of 21 – 25 which represent 85.4% and 88 respondents are between 21 and 25. In addition, there are 12 respondents are in the age group of 18 – 20 which hold 11.7% of all respondents and 3 respondents who in the age group of 26 – 30 which consists of 2.9 out of the total respondents.
For course faculty, most of the respondents from Faculty of Business and Finance (FBF) which consists of 35 and 34% out of all respondents, 29 respondents come from Faculty of Information and Communication Technology (FICT) and 10 respondents from Centre for Foundation Studies (CFS) which obtained 28.2% and 9.7% of all respondents respectively. There are two faculties obtain same numbers of respondents which 7 out of 103 respondents and 6.8% out of the total respondents, that is Faculty of Arts and Social Science (FAS) and Institute of Chinese Studies (ICS). Meanwhile, Faculty of Engineering and Green Technology (FEGT) and Faculty of Accountancy and Management (FAM) obtain 5 respondents and occupied 4.9%
of all respondents. Furthermore, 3 respondents come from Faculty of Creative Industries (FCI) and 2 respondents come from Faculty of Science (FSC) which 2.9% and 1.9% out of all respondents respectively. Lastly, there is no respondent from Lee Kong Chian Faculty of Engineering (LKCFES) and Faculty of Medicine and Health Sciences (FMHS).
Bachelor of Information Systems (Honours) Business Information Systems Faculty of Information and Communication Technology (Kampar Campus), UTAR
82 Furthermore, most of the respondents are currently using Apple smartphone which consists of 30.1% and 31 respondents out of 103 respondents. Moreover, there are 20 respondents using Huawei and 17 respondents using Samsung which occupied 19.4% and 16.5% out of all respondents. Furthermore, there are two brands of smartphone consist of same respondents which are Xiao Mi and Oppo, both of them having 11.7% and 12 out of 103 respondents. Besides that, Vivo smartphone obtained 7.8% of total respondents and 8 respondents. On the other hand, there are 2 respondents categorized in using Realme smartphone which is 1.9%. Lastly, there is one respondent using Redmi which obtained 1.1%.
On the other hand, there are only three kinds of operating system used from the respondents which are IOS, Android and Harmony. For IOS user, there are 30.1%
of total respondents and 31 out of 103 respondents. On the other hand, the majority of them are Android user which consists of 68 respondents and 66%
of total respondent. Lastly, there are 4 respondents are Harmony user which occupied 3.9% of all respondents.
5.1.2 Scale Measurement
The scale measurement in this research is adopting the reliability test by using each of the variables and items reliability with Fornell-Larker Criterion, Items reliability, Cronbach’s alpha and Average variance extracted. Based on the results, the highest value of Cronbach’s alpha is Academic Performance which obtained 1.000, followed by Playing Mobile Game (0.876), Social Media Addiction (0.776), Sleep Deprivation (0.743) and Cognitive Function (0.674) whereas the lowest value of Cronbach’s alpha is Excessive of watching drama or movie which is 0.633. Besides that, all the Average variance extracted value among six variables are between 0.5 and 1. Therefore, it is still considered an acceptable measurement.
Bachelor of Information Systems (Honours) Business Information Systems Faculty of Information and Communication Technology (Kampar Campus), UTAR
83 5.1.3 SPSS Analysis
5.1.3.1 Pearson Correlation
Pearson correlation analysis is to calculate the strength of linear relationship between the independent variables and dependent variable. In this study, the analysis of correlation needs to separate into 3 parts which are (Social Media Addiction, Excessive of Watching drama or movie, Playing Mobile Game &
Sleep Deprivation) as first part, (Sleep Deprivation & Cognitive Function) as second part and (Cognitive Function & Academic Performance) as the last part.
As the first part, Social Media Addiction, Excessive of Watching drama or movie and Playing Mobile Game as independent variables and Sleep Deprivation as dependent variable. The r value in this relationship is 0.463, 0.447 and 0.533 for Social Media Addiction, Excessive of Watching drama or movie and Playing Mobile Game respectively. The result shows that Playing Mobile Game (0.533) has the strongest relationship with Sleep Deprivation, followed by Excessive of Watching drama or movie (0.447) then Social Media Addiction (0.463). The correlation of three of these independent variables and dependent variable is significant positive. Next, Sleep Deprivation as independent variable and Cognitive Function as dependent variable. The correlation value stated as 0.581 which means that their strength of correlation is moderate and significant positive. Lastly, Cognitive Function as independent variable and Academic Performance as dependent variable. The r value is – 0.356 which represent that it is significant negative in this relationship and the strength of correlation is considered as weak.
5.1.3.2 Single and Multiple Regression Analysis
Single and multiple regression is to evaluate the relationship of the independent variable and dependent variable. In this study, there are one multiple regression and two single regressions. Firstly, the multiple regression is to examine Social Media Addiction, Excessive of Watching drama and movie and Playing Mobile Game as independent variables and Sleep Deprivation as dependent variable.
The coefficients of three independent variables are 0.15, 0.254 and 0.21 which means that there is positive relationship between these three independent variables and dependent variable. In other words, the independent variables
Bachelor of Information Systems (Honours) Business Information Systems Faculty of Information and Communication Technology (Kampar Campus), UTAR
84 increase, the dependent variable also increase. Furthermore, their significant values are 0.149, < 0.001 and < 0.001 respectively. For Social Media Addiction, its significant value as 0.149 is greater than the significant level of 0.05, therefore the null hypothesis as H0 should be accepted which means that there is no significant relationship between social media addiction and sleep deprivation. On the other hand, the significant values of Excessive of Watching drama and movie and Playing Mobile Game are smaller than the significant level of 0.05, thus the alternative hypothesis as H2 and H3 are accepted which represents that there is a significant relationship between excessive of watching drama and movie and sleep deprivation as well as there is a significant relationship between playing mobile game and sleep deprivation.
Besides that, the next regression is single regression is to test the relationship of Sleep Deprivation as independent variable and Cognitive Function as dependent variable. The coefficient of Sleep Deprivation is 0.862 which represents that there is positive relationship between Sleep Deprivation and Cognitive Function.
Moreover, the significant value of independent variable is < 0.001 which is lower than the significant level of 0.05. Hence, the null hypothesis is rejected which indicates that there is a significant relationship between sleep deprivation and cognitive function.
Lastly, the next single regression is to evaluate the relationship of Cognitive Function as independent variable and Academic Performance as dependent variable. The coefficient of Cognitive Function is - 0.329 which means that there is negative relationship between the independent variable and dependent variable. In other words, the independent variable increase, the dependent variable decrease. Other than that, the significant value is < 0.001 which is lower than the significant level of 0.05. Thus, the null hypothesis is rejected which represents that there is a significant relationship between cognitive function and academic performance.
Bachelor of Information Systems (Honours) Business Information Systems Faculty of Information and Communication Technology (Kampar Campus), UTAR
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